Toward Quality Improvement in Location Map Free Reversible Watermarking

Reversible Watermarking Using Statistical Information

“…In [15], we proposed an alternative transform to increase the quality of the marked image by employing the checkerboard structure. In [16], we expand the algorithm by utilizing a new error control strategy to decrease the size of auxiliary data. Since, this kind of reversible embedding algorithm does not employ a location map and the size of auxiliary data is negligible, it can be used to make the method more robust against some geometrical attacks.…”

“…Lossless data embedding can be classified into the following categories: the first one utilizes additive spread spectrum [1,2]; the second category compresses the selected image features for creating vacancy [3,4], and employs this spare space for embedding; the third group, namely expansion-based methods [5][6][7][8][9][10][11][12][13][14][15][16], embeds the watermark data in some features by expanding them; these features are created by some decorrelation operator, and finally, some methods are based on histogram modification [17,18] in which peak/zero points of the histogram either in spatial domain or transform domain are utilized for embedding.…”